D-FLER - A Distributed Fuzzy Logic Engine for Rule-Based Wireless Sensor Networks

Abstract. We propose D-FLER, a distributed, general-purpose reasoning engine for WSN. D-FLER uses fuzzy logic for fusing individual and neighborhood observations, in order to produce a more accurate and reliable result. Thorough simulation, we evaluate D-FLER in a fire-detection scenario, using both fire and non-fire input data. D-FLER achieves better detection times, while reducing the false alarm rate. In addition, we implement D-FLER on real sensor nodes and analyze the memory overhead, the numerical accuracy and the execution time.

• Type: Conference
• Year: 2007
• Where: UCS
• Authors: Mihai Marin-Perianu, Paul J. M. Havinga
• Keywords: Applied Computing, False Alarm Rate, General-purpose Reasoning Engine, Real Sensor Nodes, UCS 2007